A comprehensive framework for assessing marine, nearshore and transitional waters quality integrating Irish Water quality Index (IEWQI) model from remote sensing products using computational intelligence techniques

Md Galal Uddin; Mir Talas Mahammad Diganta; Abdul Majed Sajib; Azizur Rahman; Olbert Indiana

doi:https://doi.org/10.5194/egusphere-egu26-20016

[Back] [Session HS6.5]

EGU26-20016, updated on 14 Mar 2026

https://doi.org/10.5194/egusphere-egu26-20016

EGU General Assembly 2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

A comprehensive framework for assessing marine, nearshore and transitional waters quality integrating Irish Water quality Index (IEWQI) model from remote sensing products using computational intelligence techniques

Md Galal Uddin^1,2, Mir Talas Mahammad Diganta^1,2, Abdul Majed Sajib^1,2, Azizur Rahman³, and Olbert Indiana^1,2

Md Galal Uddin et al.

¹University of Galway, College of Engineering and Informatics, Civil Engineering, Galway, Ireland (mdgalal.uddin@universityofgalway.ie)
²Eco Hydro-Informatics Research Group (EHIRG), School of Engineering, College of Science and Engineering, University of Galway, Ireland
³School of Computing, Mathematics and Engineering, Charles Sturt University, Wagga Wagga, Australia

How to cite: Uddin, M. G., Diganta, M. T. M., Sajib, A. M., Rahman, A., and Indiana, O.: A comprehensive framework for assessing marine, nearshore and transitional waters quality integrating Irish Water quality Index (IEWQI) model from remote sensing products using computational intelligence techniques, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-20016, https://doi.org/10.5194/egusphere-egu26-20016, 2026.

This abstract has been withdrawn after no-show on 11 Aug 2026.